HP
HPE2-B08
Private Cloud AI Solutions
Questions & Answers PDF
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Latest Version: 6.0
Question: 1
How does NVIDIA AI Enterprise enhance AI workloads on HPE Private Cloud AI?
Response:
A. By providing enterprise-grade software optimizations for AI and deep learning
B. By replacing the need for AI-specific hardware
C. By restricting AI workloads to on-premises environments
D. By automating all AI model decisions without human intervention
Answer: A
Question: 2
How does One Config Advanced (OCA) help in building an HPE Private Cloud AI configuration?
Response:
A. By automating AI training pipelines
B. By replacing manual AI workload tuning
C. By selecting optimal hardware and software components
D. By enforcing static AI configurations
Answer: C
Question: 3
A healthcare provider wants to implement an AI-powered diagnostic imaging platform. What
infrastructure components should they use?
(Select two.)
Response:
A. Low-power CPUs with HDD storage
B. Standard LAN networking without high-speed connectivity
C. HPE Apollo 6500 servers with NVIDIA GPUs
D. High-speed NVMe storage for medical image processing
Answer: C,D
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Question: 4
A university is building an AI research lab and requires scalable infrastructure for machine learning
model training. What key components should they implement?
(Select two.)
Response:
A. Low-power CPUs without GPU acceleration
B. High-bandwidth storage optimized for AI datasets
C. Standard office laptops for AI model execution
D. High-performance compute nodes with NVIDIA GPUs
Answer: B,D
Question: 5
In which industries is AI commonly used for predictive analytics?
(Select two.)
Response:
A. Static document storage management
B. Retail for demand forecasting
C. Finance for fraud detection
D. Manual invoice processing
Answer: B,C
Question: 6
What are key benefits of using HPE GreenLake for AI workloads?
(Select two.)
Response:
A. AI-as-a-Service with scalable deployment options
B. Cloud-based AI training with flexible resource management
C. Limiting AI workloads to fixed configurations
D. Preventing automation in AI model execution
Answer: A,B
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Question: 7
Which hardware is commonly used to accelerate AI workloads?
Response:
A. CPUs
B. GPUs and TPUs
C. SSDs
D. RAM modules
Answer: B
Question: 8
Which NVIDIA software framework is used for deep learning model acceleration?
Response:
A. OpenStack
B. HPE Ezmeral Container Platform
C. HPE OneView
D. NVIDIA TensorRT
Answer: D
Question: 9
A company is training deep learning models and needs high-performance compute resources. Which
HPE solution should they consider?
Response:
A. HPE Apollo 6500 with NVIDIA GPUs
B. Standard x86 servers with no GPU acceleration
C. HPE ProLiant Gen10 for web hosting
D. Legacy storage arrays with low compute power
Answer: A
Question: 10
Which deep learning frameworks are commonly used for AI development?
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(Select two.)
Response:
A. TensorFlow
B. Apache Hadoop
C. PyTorch
D. MySQL
Answer: A,C
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